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monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration between research groups across several European countries and
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covalent and non-covalent inhibitors and will implement early monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and
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, salinity and other. The measured data are prone to measurement uncertainty and may also include anomalies like spikes, systematic mis-measurement effects and loss of data. This has been in focus in parallel